EEG
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | EEG (5% labels) | Accuracy84.9 | 19 | |
| Classification | EEG (1% labels) | Accuracy77.95 | 19 | |
| Classification | EEG | Accuracy87.76 | 13 | |
| Temporal Attribution | EEG | I(100)83.99 | 13 | |
| Negative temporal attribution | EEG | Δŷc (2%)0.26 | 13 | |
| EEG Denoising | EEG EMG noise, 0 dB Input SNR | SNR5.95 | 9 | |
| EEG Denoising | EEG EMG noise, -5 dB Input SNR | SNR6.05 | 9 | |
| EEG Denoising | EEG WGN noise, 0 dB Input SNR | SNR5.78 | 9 | |
| EEG Denoising | EEG WGN noise, -5 dB Input SNR | SNR (dB)5.05 | 9 | |
| CASH | eeg (test) | Test Error0.0268 | 9 | |
| Classification | EEG (subject-independent) | BAcc (Motor)70 | 8 | |
| Classification | EEG | Accuracy85.56 | 8 | |
| EEG Classification | EEG Classification | Forward Latency (ms)0.03 | 8 | |
| EEG Prediction | EEG held-out (test) | MSE0.115 | 7 | |
| Forecasting | EEG | NLL0.9 | 7 | |
| Reconstruction | EEG | NLL0.7 | 7 | |
| Interpolation | EEG | NLL0.44 | 7 | |
| Dynamical systems reconstruction | EEG 64d | Dstsp2.1 | 7 | |
| Forecasting | EEG (Electroencephalogram) | Average Predictive Density1.23 | 6 | |
| Interpolation | EEG (Electroencephalogram) | Average Predictive Density58 | 6 | |
| Classification | EEG (test) | Accuracy89 | 6 | |
| Classification | eeg UCI (test) | Accuracy78.5 | 6 | |
| Seizure classification | raw EEG | AUROC0.832 | 5 | |
| Multivariate Time Series Classification | EEG | Accuracy65.63 | 5 | |
| AD vs HC classification | EEG AD vs HC (summary) | SRC Balanced Accuracy87.1 | 4 |
Showing 25 of 34 rows